Published September 20, 2022 | Version v1
Dataset Open

Integrated hydrological model results for Lower Triangle Region in East River Watershed, Colorado, WYs 2016 and 2017

Creators

  • 1. Technische Universität Braunschweig
  • 2. Lawrence Berkeley National Laboratory
  • 3. Karlsruhe Institute of Technology

Description

Summary

This data package contains numerical simulation results of integrated hydrology in Lower Triangle Region in East River Watershed, Colorado. The system is forced with DAYMET precipitation and climate data of the region for the water years 2016 and 2017. The results are computed on triangular multi-resolution meshes with resolutions ranging from 10 meter to 80 meter. The purpose of the data is to assess the influence of surface-subsurface exchange on distributed and aggregated hydrological response.

Material and Methods

Data has been generated by the Advanced Terrestrial Simulator (ATS) v1.0. The output format of ATS for spatially distributed data is HDF5 and can be viewed, for example, using VisIt or ParaView. The format of point data is plain text.

README content

The uploaded files have been created using the unix split(1) command to limit the size of each individual package. Files can be merged under a unix system through:

$ cat OZGEN_ETAL_2022.zip.partaa OZGEN_ETAL_2022.zip.partab OZGEN_ETAL_2022.zip.partac > output.zip

Unzip via

$ unzip output.zip

or using a graphical environment.

Notes

Funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research under Award Number DE-AC02-05CH11231 (Watershed Function Scientific Focus Area) and DE-AC02-05CH11231 (IDEAS-Watersheds). U.S. Department of Energy, Office of Science, Office of Workforce Development for Teachers and Scientists (WDTS) fund for Science Undergraduate Laboratory Internships Program (SULI) is acknowledged. This work used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy, Office of Science, user facility operated under Contract Number DE-AC02-05CH11231. This work used the Lawrencium computational cluster resource provided by the IT Division at the Lawrence Berkeley National Laboratory, supported by the Director, Office of Science, Office of Basic Energy Sciences, of the U.S. Department of Energy under Contract Number DE-AC02-05CH11231.

Files

README.txt

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